Attempts to apply the apparatus of quantum mechanics cognition and language have met, understandably, with a degree scepticism within disciplines concerned, but they nevertheless potential for opening exciting new perspectives. In this article, I address question as what it is exactly about these attempts that has drawn such attention – both positive negative in recent years. shall argue distin...

Language encoders encode words and phrases in ways that capture their local semantic relatedness, but are known to be globally inconsistent. Global inconsistency can seemingly corrected for, part, by leveraging signals from knowledge bases, previous results partial limited monolingual English encoders. We extract a large-scale multilingual, multi-word analogy dataset Wikidata for diagnosing cor...

Analogy has been shown to be important in many key cognitive abilities, including learning, problem solving, creativity and language change. For cognitive models of analogy, the fundamental computational question is how its inherent complexity (its NP-hardness) is solved by the human cognitive system. Indeed, different models of analogical processing can be categorized by the simplification str...

Analogical reasoning is one of the most important techniques used by people, yet it has proved very difficult to represent the process in formal terms amenable to operational implementation in computer algorithms. In this paper we analyse the concept of an analogy and its application to reasoning processes. An analogy is seen to be a partial correspondence between two sYstems. In representing i...